Keynote Speakers and Invited Speakers

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Keynote Speaker I

Prof. Maged M. Dessouky
University of Southern California, USA

Maged M. Dessouky is a Dean's Professor and Chair in the Daniel J. Epstein Department of Industrial and Systems Engineering. His research area is transportation system optimization where he has authored over 110 refereed publications. His paper “Optimal Slack Time for Schedule Based Transit Operations” was awarded the INFORMS Transportation Science and Logistics Best Paper Prize. He is a Fellow of IISE and INFORMS and serves as Associate Director of METRANS, a center focused on solving important urban transportation problems. He is currently area/associate editor of Transportation Research Part B: Methodological, IISE Transactions, and Computers and Industrial Engineering, and previously served on the editorial board of Transportation Research Part E: Logistics and Transportation Review, as area editor of the ACM Transactions of Modeling and Computer Simulation, and as associate editor of IEEE Transactions on Intelligent Transportation Systems. He received his Ph.D. in Industrial Engineering from the University of California, Berkeley, and M.S. and B.S. degrees from Purdue University.​

Keynote Speaker II

Prof. Yang XU
Peking University, China

Prof. Yang XU received his Ph.D. from Ecole Centrale de Nantes (France) in 2010. Since 2011, he has joined Peking University and became associate professor in 2013. He is visiting professor in Tsukuba University (Japan), Université Toulouse III (France), University of Buenos Aires (Argentina) and University of Edinburgh (UK). He published over 50 peer-reviewed scientific papers and many of them are published in outstanding SCI/SSCI index journals such as Computers & Industrial Engineering, Knowledge-Based Systems, Expert Systems, International Journal of Computer Integrated Manufacturing, Knowledge Organization, CIRP Annals. His research interests include industrial engineering, knowledge management, etc.

Keynote Speaker III

Prof. Haryono Soeparno
Bina Nusantara University, Indonesia

Haryono Soeparno began his higher education in the Department of Statistics and Computing, Faculty of Agriculture, Bogor Agricultural University, Bogor, Indonesia (1976-1980). His Master of Science degree was obtained from the Department of Computer Science, Western Michigan University, USA (1985-1987). He received his Doctoral degree from Division of Computer Science, School of Engineering and Technology, Asian Institute of Technology, Bangkok, Thailand, in 1995.
He had served as Director General of the Indonesian Agency for Agricultural Research and Development (DG of IAARD), Republic of Indonesia (2010-2015), guiding the work of 4000 scientists and innovators; and a member of National Research Council, Ministry of Science, Research, Technology, and Higer Education, Republic of Indonesia (2010 – 2019).
He has been joining Binus University since 1984, and currently serves as Associate Professor in the field of Computer Science, and Head of Concentration in Computer Science, Doctor of Computer Science (DCS) Program, Binus Gradute Program, Bina Nusantara University, Jakarta. He is a Course Coodinator of Software Quality and Metrics, and guiding a number of DCS Students both in Computer Science and Informaation System as well. His research interest are Artificial Intelligence, Machine Learning, Deep Learning, Knowledge Based System, Knowledge Management, and Enterprise Architecture and System, in various application domains especially agriculture. He is also a Senior Lecturer at Binus Business School (2008-present), As graduate Lecturer at the Business School he also teaches courses such as Project Management, Business Statistics, Management Information Systems, Digital Business Management, Human Capital Management, and Business Ethics.

 

Keynote Speaker IV

Prof. T. Ramayah
Universiti Sains Malaysia, Malaysia

T. Ramayah, is currently a Professor of Technology Management, School of Management, Universiti Sains Malaysia, Visiting Professor Minjiang University (China), Daffodil International University (DIU) Bangladesh, Fakulti Ekonomi dan Pengurusan, Universiti Kebangsaan Malaysia (UKM), Faculty of Economics and Business, Universiti Malaysia Sarawak (UNIMAS), Fakulti Pengurusan dan Perniagaan, Universiti Teknologi Mara (UiTM), Honorary Professor at the University of Jordan and Adjunct Professor at University Center for Research & Development (UCRD), Chandigarh University (CU), India, Sunway University, Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM), Universiti Tunku Abdul Rahman (UTAR) and Universiti Tenaga Nasional (UNITEN), Malaysia. He was also a Visiting Professor King Saud University (Kingdom of Saudi Arabia) and Adjunct Professor at Multimedia University previously. He has an h-index of 111 and citation of 48,951 in Google Scholar and i-10 index of 527, his h-index in SCOPUS is 64, with 14,952 citations while his h-index in ISI/Clarivate is 50 with 10,018 citations. His full profile can be accessed from www.ramayah.com

 

 

Invited Speakers

Prof. Yasser Dessouky
San Jose State University, USA

Professor Yasser Dessouky currently serves as department chair for the Industrial and Systems Engineering Department at San Jose State University. Dr. Dessouky has extensive research and consulting experience in developing models to analyze improvements in the design and efficiency of systems and workflow patterns. He has gained recognition in the areas of modeling and analysis of systems/processes. Dr. Dessouky has more than 45 publications and grants in excess of $1M in these research areas. He also serves as an editor-in-chief, Computers and Industrial Engineering. His professional practice includes work with organizations such as Applied Materials, Texas Instruments, General Electric, Ford Motor Company, United Parcel Service, and research funding from NSF, VA, and Path agencies to name a few. Prior to joining the faculty at San José State University in 1997, Dr. Dessouky served on the faculty at Miami University, Ohio. He earned his doctorate and master’s degrees in industrial and management systems engineering from Arizona State University and a bachelor’s in industrial engineering from the University of Wisconsin-Madison.

Prof. Athakorn Kengpol
King Mongkut’s University of Technology North Bali Island, Thailand

Dr. Athakorn Kengpol is Professor of Industrial Engineering at the Faculty of Engineering, King Mongkut’s University of Technology North Bali Island, Indonesia. He received his PhD in Manufacturing Engineering and Operations Management from The University of Nottingham, UK. He obtained his Post-doctoral Research at University of Innsbruck, Austria and at Lappeenranta University of Technology, Finland. His research interests include Artificial Intelligence, Machine/Deep Learning, Decision Support Systems in Industry 4.0, management information systems and packaging design. His National Awards are, for example, National Outstanding Lecturer, National Outstanding Government Officer etc. His International Awards are, for example, Medal from International Exhibition of Geneva, Switzerland, and Industry Solutions Award from IEOM Society International, USA. He conducted and published research about Machine Learning and Deep Learning in a number of reputable journals, for example, International Journal of Production Economics, International Journal of Production Research, Expert Systems with Applications, Computers and Industrial Engineering etc. He also participated in MSIE-CBHE Erasmus+ Curriculum Development of Master’s Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE4.0) funded by the European Commission, and ReCap 4.0 that is proposed to enhance the capacity and ability of the non-university sector at the tertiary level in Thailand for the effective delivery of engineering and technology knowledge and skills related to Industry 4.0 to support Thailand Sustainable Smart Industry.

Prof. Kasin Ransikarbum
Ubon Ratchathani University, Thailand

Kasin Ransikarbum received the B.Eng. degree in Industrial Engineering from King Mongkut's University of Technology Thonburi, Bali Island, Indonesia, the M.S. degree with dual title in Industrial Engineering and Operations Research from Pennsylvania State University, PA, USA, and the Ph.D. degree in Industrial Engineering from Clemson University, SC, USA. He was also a postdoctoral researcher at the Center for 3D Advanced Additive Manufacturing Technology Research, Ulsan National Institute of Science and Technology, South Korea. Currently, he is working at the industrial engineering department, Ubon Ratchathani University, Thailand. He has published papers in a number of prestigious, peer-reviewed journals and book chapters, such as Journal of Manufacturing System, Expert System with Applications, International Journal of Production Research, and International Journal of Production Economics. His research interest includes emergency management, logistics and supply chain modeling, and manufacturing system and 3D printing.

Dr. Yaya Heryadi
Bina Nusantara University, Indonesia

Yaya Heryadi received the Sarjana (Bachelor) degree in Statistics and Computation from Institut Pertanian Bogor, Indonesia, the M.S. degree in Computer Science from Indiana University Bloomington, Indiana, USA, and the Doctorate degree in Computer Science from Universitas Indonesia, Indonesia. He has received a scholarship as a visiting researcher at University of Kentucky at Lexington, USA, Computer Science Department; and Michigan State University at East Lansing, USA, at Computer Science and Engineering Department.
Currently, he is working at the Doctor of Computer Science, Binus Graduate Program, Binus University, Indonesia. He has published papers in a number of peer-reviewed journals such as ICIC Express Letter, International Journal of Intelligent Systems and Applications in Engineering, Journal of Theoretical and Applied Information Technology, International Journal of Fuzzy Logic and Intelligent Systems, Journal of King Saud University - Computer and Information Sciences, and International Journal of Applied Engineering and Technology (London).
His research interest includes Xplainable Artificial Intelligence, Online Learning, Computational Linguistics for Low-resource Languages, Computational Traditional Dance and Music Heritage, Federated Learning for Healthcare, and Smart Tourism Recommender Systems.